JP2014102256A - Target tracking device and target tracking method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To solve the problems called target transfer and lost that are caused when using a conventional window in target tracking for tracking a target on the basis of data related to a plurality of target positions obtained from sequentially obtained target signals.SOLUTION: A plurality of target positions obtained at a certain timing are correlated with a plurality of target positions to be matched being a plurality of target positions obtained at a past timing or a plurality of predicted target positions for a certain timing obtained on the basis of the target positions obtained at the past timing. Then, the target positions correlated with the target positions to be matched are stored in association with target identification data corresponding to the target positions to be matched, and as for the correlation, the plurality of target positions and the plurality of target positions to be matched are correlated such that a total sum of distances therebetween is minimized, and when a distance between a target position and a target position to be matched exceeds a prescribed distance which is modified according to target speed magnitude, correlation is not executed between the target position and the target position to be matched.

Description

  The present invention relates to a target tracking device and a target tracking method for tracking a target such as a ship.

For example, in an ARPA device (Automatic Radar Plotting Aids) that prevents collision of a ship or the like, a target tracking device that performs target tracking is provided. In the target tracking device, for a target being tracked in a certain scan of radar echo, in the next scan, a window (or gate) is also formed around the target or a predicted position calculated from a past position. The center of gravity of the target in the window is obtained, and this is used as a new target position, and this is sequentially repeated to track the target (for example, Patent Document 1).

Japanese Patent No. 3110549

However, there are the following problems in tracking for setting a conventional window.
1) Since it is a principle to track one target in one window, if multiple echoes are generated in one window, the target echo is selected from that window. There is a need. For this reason, if the wrong echo is selected, a transfer occurs. In particular, in a zone where the target is congested, a plurality of echoes frequently occur in one window, and there is a high possibility that an erroneous selection will be made.
2) If the target being tracked performs rapid acceleration / deceleration or turning, the echo may fall off the window. Once the echo is off the window, it is very difficult to continue tracking, resulting in a loss of target.

  If the window size is small, there is a possibility of lost, and if it is large, there is a possibility of transfer. The problems 1) and 2) are in a trade-off relationship. In particular, in recent years, it has been necessary to increase the window due to the speeding up of targets for ships and the like, so the possibility of transfer is increasing.

  The present invention has been made in view of such a problem, and an object thereof is to provide a target tracking device and a target tracking method capable of solving the problem of tracking using a conventional window.

In order to solve the above-mentioned problem, the invention according to claim 1 of the present invention is a target tracking device that performs tracking of a target based on data on a plurality of target positions obtained from a target signal acquired in time series.
A plurality of target positions obtained at a certain timing and a plurality of target predicted positions at a certain timing obtained based on a plurality of target positions obtained at a past timing or a target position obtained at a past timing. Matching processing means for associating with a target position to be matched;
A matching data table for storing the target position associated with the target position to be matched by the matching processing means in association with the target identification data corresponding to the target position to be matched,
The matching processing unit associates a plurality of target positions with a plurality of target positions to be matched so that the sum of the distances is minimized, and a distance between the target position and the target position to be matched is a target speed. If the predetermined distance that changes according to the distance is exceeded, the target position and the target position to be matched are not associated with each other.

The invention according to claim 2 is a target tracking device that performs tracking of a target based on data on a plurality of target positions obtained from a target signal acquired in time series.
A plurality of target positions obtained at a certain timing and a plurality of target predicted positions at a certain timing obtained based on a plurality of target positions obtained at a past timing or a target position obtained at a past timing. Matching processing means for associating with a target position to be matched;
A matching data table for storing the target position associated with the target position to be matched by the matching processing means in association with the target identification data corresponding to the target position to be matched,
The matching processing means associates a plurality of target positions and a plurality of target positions to be matched so that a sum of multiplications of differences in distance and target size is minimized, and the target position and the target to be matched When the distance to the position exceeds a predetermined distance that is changed according to the magnitude of the target speed, the target position and the target position to be matched are not associated with each other.

The invention according to claim 3 is a target tracking method for tracking a target based on data on a plurality of target positions obtained from a target signal acquired in time series.
A plurality of target positions obtained at a certain timing and a plurality of target predicted positions at a certain timing obtained based on a plurality of target positions obtained at a past timing or a target position obtained at a past timing. A matching processing step for associating with a target position to be matched;
Storing the target position associated with the target position to be matched in the matching processing step in association with target identification data corresponding to the target position to be matched.
The matching processing step associates a plurality of target positions with a plurality of target positions to be matched so that the sum of the distances is minimized, and the distance between the target position and the target position to be matched is a large target speed. If the predetermined distance that changes according to the distance is exceeded, the target position and the target position to be matched are not associated with each other.

The invention according to claim 4 is a target tracking method for tracking a target based on data on a plurality of target positions obtained from a target signal acquired in time series.
A plurality of target positions obtained at a certain timing and a plurality of target predicted positions at a certain timing obtained based on a plurality of target positions obtained at a past timing or a target position obtained at a past timing. A matching processing step for associating with a target position to be matched;
Storing the target position associated with the target position to be matched in the matching processing step in association with target identification data corresponding to the target position to be matched.
The matching processing step associates a plurality of target positions and a plurality of target positions to be matched so that a sum of multiplications of differences in distance and target size is minimized, and the target position and the target to be matched When the distance to the position exceeds a predetermined distance that is changed according to the magnitude of the target speed, the target position and the target position to be matched are not associated with each other.

  According to the present invention, unlike a conventional method in which a window is set by focusing on only one target, a plurality of target positions and a plurality of target positions to be matched are associated with each other. Target tracking can be performed in consideration of the motion of surrounding targets that could not be obtained, and accurate tracking becomes possible. It is also possible to increase the accuracy in combination with a means for setting a window.

  As a result, even in a congested area, it is possible to perform accurate tracking while suppressing transfer. Even when the target being tracked performs rapid acceleration / deceleration or turning, the optimum combination as a whole is obtained, and therefore accurate tracking with suppressed lost is possible. In other words, even if a target of interest performs rapid acceleration / deceleration or turning, if the tracking of surrounding targets can be continued, the target of interest can be easily found.

It is a block diagram of 1st Embodiment of the target tracking apparatus according to the target tracking method by this invention. It is a block diagram of 2nd Embodiment of the target tracking apparatus according to the target tracking method by this invention. It is a block diagram of 3rd Embodiment of the target tracking apparatus according to the target tracking method by this invention. It is a flowchart showing the specific algorithm of a matching process. It is a specific example of the matching process by FIG. In the example of FIG. 5, it is explanatory drawing explaining the difference with the conventional window system. It is explanatory drawing showing an example for calculating | requiring the predicted position of a target. It is explanatory drawing showing the various examples for calculating | requiring the position of a target.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings.

(First embodiment)
FIG. 1 shows a block diagram of a first embodiment of a target tracking device 10 according to a target tracking method according to the present invention. The target tracking device 10 of this example is assumed to be mounted on the ARPA device. However, the target tracking device 10 is mounted on the moving body itself to monitor a target such as a surrounding marine or aerial ship or flying object, and also on the ground to monitor a target such as a marine or aerial ship or flying object. And so on.

  As illustrated, the target tracking device 10 roughly includes a signal reception block 12, a target tracking block 14, a target information processing block 16, a screen display unit 18, and a user interface unit 20.

  The signal reception block 12 receives a target echo signal or a target signal from the outside. The signal input to the signal receiving block 12 may be a video signal output from a radar apparatus that is a target position detecting means. In this case, the period when the radar antenna transmits one pulse and receives the reflected wave is called one sweep, and the period during which the radar antenna rotates once is called one scan. The true azimuth of each pulse is obtained by adding the heading azimuth of the radar antenna obtained by a gyro etc. to the azimuth (relative azimuth) obtained from the radar antenna.

  The signal receiving block 12 includes a signal receiving unit 22 that detects the input video signal, a signal processing unit 24 that performs various signal processing such as noise removal on the video signal, and is updated for each scan. Alternatively, an echo data memory 26 for storing echo data for a plurality of scans is provided.

Here, the signal processing unit 24 can store the echo data for a plurality of scans as a pre-process to be stored in the echo data memory 26, thereby performing a scan correlation process to remove noise and the like.

  The signal receiving block 12 receives a signal from a radar device which is a target position detecting unit directly connected to the target tracking device 10 and is separated from a moving body different from the target tracking device 10 or the target tracking device 10. Alternatively, a signal from a radar apparatus which is a target position detection unit installed on the ground may be received by some means. The signal from the slave radar device may be received directly, the signal obtained from the laser device or any other target position detection means may be received as digital data, or the digital data may be received from any You may receive via a communication network. In any case, when focusing on a certain area with respect to the target position detecting means, a target signal representing a target existing in that area is acquired in time series, and the target signal is input to the signal receiving block 12. It only has to be done. In addition, as a pre-process input to the signal receiving block 12, the target signal from the target position detecting means is subjected to a process for removing fixed objects such as land based on the map data using the map data. A target signal may be input to the reception block 12. In addition, before detecting a target, processing for removing a known target that does not need to be tracked may be performed using AIS data.

  The target tracking block 14 includes a target detection unit 32, a target position table 34, a target position matching processing unit 36, and a matching data table 40.

  The target detection unit 32 detects the target position from the data for one scan stored in the echo data memory 26. For this purpose, first, a target echo is extracted. As the extraction method, the following method can be considered.

(1) After binarizing digital data using a certain threshold value, a portion having a certain continuity in the distance direction and the azimuth direction is detected and used as a target echo, or image processing such as labeling. Echo chunks are separated by a technique, and a chunk of a certain size or larger is set as a target echo.
(2) The two-dimensional inclination of the value of the digital data is obtained, and the maximum portion is set as the target position. Alternatively, a portion where the amount of change (slope) in the value of the digital data is greater than a certain value is detected as the boundary of the target echo.
(3) The split gate method (Takashi Yoshida “Revised Radar Technology”, p.264, Institute of Electronics, Information and Communication Engineers (1996)) is used as a method to detect the target as it is from the analog signal. The target echo is detected by using the fact that the difference between both gates becomes 0 at the center of the signal.

Further, in order to determine the target position from the detected target echo, the following method can be considered (see FIG. 8).
(1) The position of the center of gravity of the target echo block is set as the target position (FIG. 8A).
(2) The center position in the distance direction and azimuth direction of the target echo is set as the target position (FIG. 8B).
(3) The target position is the center position in the azimuth direction of the target echo and the position closest to the antenna in the distance direction (FIG. 8C).

  Further, instead of performing the preprocessing input to the signal receiving block 12, when the target detection unit 32 detects the target, the map data is used to remove a fixed object such as land from the map data. May be. In addition, since all the targets can be automatically extracted from the data for one scan by the target detection unit 32 in this way, it is not necessary for the user to specify the tracking target. Further, when detecting a target, processing for removing a known target that does not need to be tracked may be performed using AIS data.

  One or more target positions detected by the target detection unit 32 are stored in the target position table 34. The target position table 34 stores at least the latest target positions for two scans.

The target position matching processing unit 36 performs matching using the target positions for two scans stored in the target position table 34. Specifically, matching is performed so that the sum of the movement distances of all targets is minimized with respect to the target position between two scans. Alternatively, an approximate matching solution that minimizes the sum is obtained and matching is performed. That is, the position of the target i of the current scan (t) is (x _{i, t} , y _{i, t} ), and the target position of the previous scan is (x _{i, t−1} , y _{i, t−1} ). The sum of all targets for the position difference d _i

Find the combination (x _it , y _it ) and (x _{i, t −1} , y _{i, t −1} ) that minimizes, and assign the position information to the same target. Even in the case of three dimensions, it may be expanded to three dimensions in the same manner. An example of a matching algorithm for finding a specific minimum combination will be described later.

  Thus, when the combination is detected and associated, the position is stored in the matching data table 40 in association with the target identification data for identifying the target and the scan timing corresponding to the time. Here, the target identification data may be anything as long as the history of a certain target can be identified from the history of another target.

  The target information processing block 16 includes a target information calculation unit (smoothing unit) 42 that calculates the course / speed of the target target from the target position data stored in the matching data table 40, and a target tracking information table that stores the calculation result. 44 and a target data search unit 46.

  The course / speed calculation performed by the target information calculation unit 42 can be calculated using an α-β filter or the like.

  The screen display unit 18 displays a target from information stored in the target tracking information table 44. A desired target is designated from the user interface unit 20 to the screen display unit 18, or the target enters a predetermined area, or is automatically determined by the target information processing block 16, The target data search unit 46 searches the information stored in the target tracking information table 44 for the target, that is, the course / speed information, and sends the information to the screen display unit 18 so that the information is displayed on the screen display unit 18. Is displayed.

(Second Embodiment)
FIG. 2 shows a block diagram of a second embodiment of the target tracking device 10 according to the target tracking method of the present invention. Since the second embodiment is mostly the same as the first embodiment, only different parts will be described.

  That is, in this embodiment, the target tracking block 14 further includes a speed information calculation unit 38.

  The speed information calculation unit 38 calculates the speed (speed and course) of each target using information in the matching data table 40. That is, the speed can be determined using the target position over two or more past scans. An α-β filter or the like may be used as necessary, or the speed may be simply obtained from the difference between the target positions in the past two scans, assuming that the target maintains a constant speed. The calculated speed is stored in the matching data table 40 in association with the target identification data.

In this way, the target position matching processing unit 36 provided with the speed information calculation unit 38 does not perform matching so that the sum of the movement distances of all targets is minimized with respect to the target position between two scans, but instead of the current scan. position of each target i of _{(t) (x it, y} it) and the predicted position of each target in the current scan using the speed calculated by the speed information calculation section _{38 (t) (x it ^} , y ^ it) Matching is performed so that the sum of the distances between and is minimized. In this case, since the position difference d _i ^ between the position (x _it , y _it ) of each target i and the predicted position (xs _it ^, y ^ _it ) of each target can be predicted to be small, matching accuracy is increased. be able to.

  As described above, in the target tracking device according to the first and second embodiments, a window is not set, but instead, the target position between the past target position or the predicted target position and the current target position is set for all targets. Matching between them is done. On the other hand, conventionally, each individual target is tracked independently by setting a window for each target. Therefore, a plurality of targets may exist in one window, or the target echo may be out of the window.

  However, in the present invention, tracking is performed for all targets, and the association is performed so that the sum of the movement amounts is minimized. Target tracking in consideration of movement becomes possible, and accurate tracking becomes possible. As a result, even in a congested area, it is possible to perform accurate tracking while suppressing transfer. Even when the target being tracked performs rapid acceleration / deceleration or turning, the optimum combination as a whole is obtained, and therefore accurate tracking with suppressed lost is possible. In other words, even if a target of interest performs rapid acceleration / deceleration or turning, if the tracking of surrounding targets can be continued, the target of interest can be easily found.

  In addition, in order to use a signal that spans a plurality of scans, the signal processing unit 24 performs scan correlation processing, thereby making it possible to remove noise.

  In the first and second embodiments described above, one entire scan is set as a matching target. However, the present invention is not limited to this, and one scan is divided into a plurality of regions and matching is performed in each region. It may be.

(Third embodiment)
FIG. 3 shows a block diagram of a third embodiment of the target tracking device 10 according to the target tracking method of the present invention. The same or similar members in the first or second embodiment are denoted by the same reference numerals, and detailed description thereof is omitted.

  In this embodiment, the method of setting a window and matching are combined to improve tracking accuracy.

  That is, the target tracking device 10 roughly includes a signal reception block 52, a target tracking block 54, a target information processing block 56, a screen display unit 18, a user interface unit 20, an automatic target capturing unit 62, and an auxiliary tracking block 64. ing.

  The signal reception block 52 is the same as the signal reception block 12, and receives a target echo signal or target signal from the outside, and stores a signal reception unit 22, a signal processing unit 24, and one sweep of echo data. And a data memory 66.

  The target tracking block 54 includes a sweep data extraction unit 70, a tracking window memory 72, a target extraction unit 74, a target position calculation unit 76, a target position table 78, a speed information calculation unit 80, and a window predicted position calculation unit. 82, a window position table 84, and a window initial position calculation unit 86.

  The sweep data extraction unit 70 extracts the echo data at the window position from the sweep data memory 66 according to the window position table 84 described later, and stores it in the tracking window memory 72.

  When the storage of data for one window is completed in the tracking window memory 72, the target extraction unit 74 extracts the target in the window stored in the tracking window memory 72, and the target position extracted by the target position calculation unit 76 is extracted. Find the position. The target extraction unit 74 uses the target obtained by the auxiliary tracking block 64 described later as necessary.

  The obtained target position is stored in the target position table 78 in association with the target identification data and the scan timing corresponding to the time. The speed information calculation unit 80 obtains a target speed from the target position stored in the target position table 78 and the previous target position. The window predicted position calculation unit 82 calculates the predicted position of the next target using the calculated target position and the target speed calculated by the speed information calculation unit 80, and further determines a window centered on the predicted position. Further, the window initial position calculator 86 obtains a large window with the current target position as the center at the time of initial capture. The obtained window is stored in the window position table 84 in association with the target identification data.

  The target information processing block 56 includes a target information calculation unit 42 that calculates the course and speed of the target target from the target position data stored in the target position table 78, and a target tracking information table 44 that stores the calculation result. Have.

  The acquisition of the target to be tracked is specified by the user from the user interface unit 20, or the target satisfying a predetermined condition is specified from the echo data from the sweep data memory 66 by the automatic target acquisition unit 62. Done.

  Next, the auxiliary tracking block 64 updates the echo data from the signal processing unit 24 for each scan and stores one or a plurality of scans, the target detection unit 32, and the target position table 34. A target position matching processing unit 36, a speed information calculating unit 38, and a matching data table 40 as necessary.

  The auxiliary tracking block 64 is basically the same as the target tracking block 14 of the first embodiment or the second embodiment, and performs matching of target positions for two scans, or the position of each target in the current scan. And the predicted position of each target are matched, and the target identification data and the target position are stored in the matching data table 40.

  If there is one target extracted in the window set corresponding to each target identification data, the target extraction unit 74 may determine the position of the target extracted as it corresponds to the target identification data. . However, when a predetermined condition is satisfied, the target can be extracted with reference to the matching data table 40 of the auxiliary tracking block 64.

  The case where the predetermined condition is satisfied may be, for example, a case where two or more targets are extracted in the window, or a case where no target is extracted in the window. In this case, in the matching data table 40 of the auxiliary tracking block 64, it is possible to detect the target position corresponding to the target identification data in question using the matched data, so that the target transfer and lost can be detected. Can be suppressed.

  The auxiliary tracking block 64 can perform calculation processing independently of the target tracking block 54. Here, the target identification data used for identifying the target in each block may be common or may be separate. In the case where they are separate, the correspondence between the target identification data can be obtained from other information, for example, the coincidence of the target positions at the time of past scanning.

  The auxiliary tracking block 64 may always perform matching for all targets. Alternatively, the matching processing by the target position matching processing unit 36 of the auxiliary tracking block 64 may be performed within a limited range. The limited range is when the target extraction unit 74 extracts two or more targets in a window of an arbitrary target that satisfies the predetermined condition, or when no target is extracted in the window. The matching may be performed on an area including the window and slightly wider than the window. Further, when performing matching, the target position or target speed of the previous scan may be acquired from the target position table 78.

  According to this embodiment, the tracking using the window simplifies the processing, and the matching result by the auxiliary tracking block when the problem of transfer or lost, which is a drawback when the window is used, is generated. By using to specify the target, it is possible to compensate for the drawbacks of using a window. In the auxiliary tracking block, the processing load can be reduced by performing the matching process in the area where the transfer or the loss occurs.

  In this embodiment, when the target extraction unit 74 performs target extraction in a window, the extraction condition can be changed for each window, and target extraction can be made more reliable. For example, in an area that becomes a shadow of a large target, the signal is low. In this case, flexibility such as setting a low threshold for target extraction in the corresponding window can be provided.

(Specific example of matching process)
Next, a specific example of the matching process will be described below.
Here, the matching is a point at time t1 when n point groups exist at a certain time (timing) t1, and n ± α point groups exist at time (timing) t2 (t2 ≠ t1). And t2 are associated with the most probable points.

  When each point has only position information as information, only the distance information between the points is included as a matching element. At this time, one of the most likely matching solutions is considered to be a case where the sum of distances d between the associated points (see equation (1)) is minimized.

  Although it is conceivable to calculate all combinations and obtain a combination that minimizes the sum, there is a drawback that the calculation amount is enormous. Therefore, the following example shown in FIG. 4 is proposed as an algorithm for reducing the calculation amount.

(1) A set of points U1 = {A1, A2,..., An} at time t = t1 and a set of points U2 = {B1, B2,..., Bn} at time t = t2. Obtain (step S11).
(2) For each point of U2, one closest U1 point is selected and used as a temporary association (step S12).
(3) The number of U2 points temporarily associated with each point of U1 is checked (step S13).
(4) When there are two U2 points associated with a certain U1 point, the two U2 points temporarily associated are referred to as X and Y for convenience (step S14). When there are three or more U2 points associated with a certain U1 point, two arbitrary points are selected from the three or more points and referred to as X and Y for convenience (step S15). On the other hand, if there is one U2 point associated with the U1 point, all temporary associations are confirmed and matching is terminated (step S20).
(5) With respect to the two points X and Y of U2 that are provisionally associated, the point of U1 that is closest to point X is X1, and the point of U1 that is next to it is X2. Similarly, the point of U1 that is closest to the point Y is Y1, and the point of U1 that is next to it is Y2. Here, X1 and Y1 are the same point. When selecting the point U1, the points excluded in steps S18 and S19 described later are excluded (step S16).
(6) The magnitudes of Xd = | X−X1 | + | Y−Y2 | and Yd = | X−X2 | + | Y−Y1 | are compared (step S17). Here, | A−B | represents the distance between the points A and B2.
(7) When Xd ≦ Yd, X1 is selected as the temporary corresponding point of X, and Y2 is selected as the temporary corresponding point of Y. Thereafter, the Y1 point is excluded as a corresponding point of Y (step S18).
(8) When Xd> Yd, Y1 is selected as the Y temporary corresponding point, and X2 is selected as the X temporary corresponding point. Thereafter, the point of X1 is excluded as the corresponding point of X (step S19).
(9) Steps S13 to S19 are repeated until the number of U2 points associated with all U1 points becomes one.

A specific processing example according to the algorithms (1) to (9) will be described with reference to FIG.
In FIG. 5 (a), when matching the white dots ◯ A to D at time t2 with the black circles ● a to d at time t1, first, the white points ◯ A to D are set to the distances of Temporarily associate with the black dot ● at the nearest time t1. Since three points of ○ B, ○ C, and ○ D are temporarily associated with D, ○ B and ○ C are selected as arbitrary points.

Then, the distance between | B−B1 | + | C−C2 | and | B−B2 | + | C−C1 | is compared. Since the latter is shorter, B2 (● u) and C1 (● e) are temporarily associated with ◯ B and ◯ C (FIG. 5B). Here, ○ B has been selected as a candidate for the association of ● D, and thereafter ● D is excluded as a corresponding point of ○ B.

  Still, since ○ C and ○ D are provisionally associated with ● D, the distance between | C−C1 | + | D−D2 | and | C−C2 | + | D−D1 | To do. Since the latter is shorter, C2 (● u) and D1 (● d) are temporarily associated with ○ C and ○ D (FIG. 5C). Here, ◯ C has been selected as a candidate for the association of ● D, and thereafter ● D is excluded as a corresponding point of ○ C.

  Then, as shown in FIG. 5 (d), two points of ○ B and ○ C are provisionally associated with ● U, so | B−B1 | + | C−C2 | and | B−B2 | Compare the distance with + | C-C1 |. Here, the closest point ● D is excluded as a corresponding point as described above. Since the latter is shorter, B2 (● a) and C1 (● c) are temporarily associated with ○ B and ○ C. Thereafter, ● U is excluded as a corresponding point of ○ B.

  Then, as shown in FIG. 5 (e), two points of A and B are provisionally associated with A, so | A-A1 | + | B-B2 | and | A-A2 | Compare the distance with + | B−B1 |. Here, as for B, ● D and ● U are excluded as corresponding points as described above. Since the former is closer, A1 (● a) and B2 (● a) are provisionally associated with ○ A and ○ B.

  Thus, since there are no more black circles ● associated with each other, provisional association is confirmed, and the process ends.

  With the above algorithm, matching can be performed with a small amount of calculation.

  In the case of the example shown in FIG. 5, if tracking is performed by setting a window, when the window is set around a black dot ● D at the initial capture, the window size is small in the window W1 shown in FIG. As a result, the matching ○ D is not entered, and incorrect tracking is performed. On the other hand, in the window W2 shown in FIG. 6, since the window size is too large, all of ○ A, ○ B, ○ C, and ○ D enter, and usually ○ C close to the center is selected. Wrong tracking will be done. Such a failure can be eliminated by matching, and correct tracking can be performed.

  FIGS. 4 to 5 described above are examples of performing target matching at the time of the previous scan and the current scan. However, when performing matching between the target position at the current scan and the predicted position of the target, For example, as shown in FIG. 7, the predicted position t1 ′ can be obtained on the assumption that the target position at the time of the previous scan, the target position at the previous scan, and the speed thereof are constant. The matching between the predicted position and the target position at the time of the current scan is performed by the same method as the algorithm shown in FIGS. 4 to 5 (in FIG. 5, either one of ● or ○ is the target predicted position). Any one of them is set as a target position at the time of the current scan), and the amount of calculation is small and matching with higher accuracy can be performed.

  In the above description, the target number at the previous scan and the current scan is assumed to be constant, but the target number actually increases or decreases. Therefore, in preparation for such a case, a range to be matched is determined in advance, and a restriction condition is added so that matching is not performed unless the range is within the range, thereby allowing a point that cannot be matched. Good.

  Specifically, in the temporary association in step S12 of the algorithm of FIG. 4, a condition that “if the closest U1 point is equal to or greater than the predetermined distance d is not provisionally associated” is added, and in steps S18 and S19, , Y and Y2, and X and X2 are equal to or greater than the predetermined distance d, the condition that the provisional association is not performed is added, and the conditions for determining the provisional association in step S20 are all the points of U1. The number of U2 points associated with can be one or less.

  As a result, it is possible to prevent points that are clearly separated from each other from being associated with each other, and it is possible to perform associative association even when the numbers of times t1 and t2 are not the same.

Possible causes for the increase or decrease in the target number are as follows.
・ When the target number increases (1) When the target enters from outside the processing range (2) When noise or clutter is mistakenly detected as a target (3) The target echo signal becomes unstable and one target is 2 In such a case, tracking may be started with a new position that has not been matched as a new target position. Since the position of the noise is close to random, even if noise is newly captured, it should normally be impossible to track within a few scans. Similarly, even if one target temporarily appears to be two, tracking is continued on one side and lost on the other side. However, if the target being tracked matches with noise, it may be lost during the next scan.

Thus, in order to prevent matching with noise, not only the movement distance but also the size of the echo size can be set as a condition for matching. That is, the position of the target i of the current scan (t) is (x _{i, t} , y _{i, t} ), the magnitude of the echo is s _{i, t,} and the target position of the previous scan is (x _{i, t− 1} , y _{i, t-1} ) and the echo size s _{i, t-1} , the position difference d _i and the size difference Δs _i are multiplied to obtain the sum of all the targets.

It is also possible to perform matching so that is minimized. Similarly, when the target position is three-dimensional, it may be expanded to three dimensions.

・ When the number of targets decreases (1) When the target is hidden behind the shadow of a large target and the echo becomes weak and cannot be detected (2) When integrated with other echoes (3) The target is outside the processing range In such a case, the previous target that has not been matched may be treated as being impossible to be tracked (lost).

  However, if handled in this way, if the target cannot be detected due to the causes of (1) and (2), it will be lost immediately, so if it cannot be detected temporarily, that is, if it cannot be matched Even so, provisional tracking may be performed during several scans. Temporary tracking can be performed by obtaining a predicted position as shown in FIG. By doing so, it is possible to continue tracking when the target echo returns.

  In addition to setting the above constraint conditions constant, it is also conceivable to dynamically change the matching range using the tracking state or ship information. For example, when speed information cannot be obtained during initial capture, the matching range is widened (predetermined distance d is increased), and after the speed information is obtained, the matching range is narrowed (predetermined distance d is decreased). Can be considered. Alternatively, the matching range may be widened because the target with high speed is a high-speed ship and there is a possibility of performing high-speed turning. Alternatively, the matching range may be narrowed because the target with a large echo size is a large ship and the possibility of high-speed turning is low.

10 Target tracking device 26 Echo data memory (data memory)
36 Target position matching processing unit (matching processing means)
38 Speed information calculation unit (speed information calculation means)
40 Matching data table 74 Target extraction unit (target extraction means)
82 predicted window position calculation unit (window calculation means)
86 Window initial position calculation section (window calculation means)

Claims (4)

In a target tracking device that performs target tracking based on data on a plurality of target positions obtained from target signals acquired in time series,
A plurality of target positions obtained at a certain timing and a plurality of target predicted positions at a certain timing obtained based on a plurality of target positions obtained at a past timing or a target position obtained at a past timing. Matching processing means for associating with a target position to be matched;
A matching data table for storing the target position associated with the target position to be matched by the matching processing means in association with the target identification data corresponding to the target position to be matched,
The matching processing unit associates a plurality of target positions with a plurality of target positions to be matched so that the sum of the distances is minimized, and a distance between the target position and the target position to be matched is a target speed. A target tracking device characterized in that the target position and the target position to be matched are not associated when a predetermined distance to be changed according to the distance is exceeded. In a target tracking device that performs target tracking based on data on a plurality of target positions obtained from target signals acquired in time series,
A plurality of target positions obtained at a certain timing and a plurality of target predicted positions at a certain timing obtained based on a plurality of target positions obtained at a past timing or a target position obtained at a past timing. Matching processing means for associating with a target position to be matched;
A matching data table for storing the target position associated with the target position to be matched by the matching processing means in association with the target identification data corresponding to the target position to be matched,
The matching processing means associates a plurality of target positions and a plurality of target positions to be matched so that a sum of multiplications of differences in distance and target size is minimized, and the target position and the target to be matched A target tracking device characterized in that, when the distance to a position exceeds a predetermined distance to be changed according to the magnitude of the target speed, the target position is not associated with the target position to be matched. In a target tracking method for tracking a target based on data on a plurality of target positions obtained from a target signal acquired in time series,
A plurality of target positions obtained at a certain timing and a plurality of target predicted positions at a certain timing obtained based on a plurality of target positions obtained at a past timing or a target position obtained at a past timing. A matching processing step for associating with a target position to be matched;
Storing the target position associated with the target position to be matched in the matching processing step in association with target identification data corresponding to the target position to be matched.
The matching processing step associates a plurality of target positions with a plurality of target positions to be matched so that the sum of the distances is minimized, and the distance between the target position and the target position to be matched is a large target speed. A target tracking method characterized in that the target position is not associated with the target position to be matched when a predetermined distance that varies depending on the distance is exceeded. In a target tracking method for tracking a target based on data on a plurality of target positions obtained from a target signal acquired in time series,
A plurality of target positions obtained at a certain timing and a plurality of target predicted positions at a certain timing obtained based on a plurality of target positions obtained at a past timing or a target position obtained at a past timing. A matching processing step for associating with a target position to be matched;
Storing the target position associated with the target position to be matched in the matching processing step in association with target identification data corresponding to the target position to be matched.
The matching processing step associates a plurality of target positions and a plurality of target positions to be matched so that a sum of multiplications of differences in distance and target size is minimized, and the target position and the target to be matched A target tracking method, wherein when the distance to a position exceeds a predetermined distance to be changed according to the magnitude of the target speed, the target position is not associated with the target position to be matched.